{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T03:08:15Z","timestamp":1761102495028},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s12145-021-00760-w","type":"journal-article","created":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T12:06:52Z","timestamp":1647259612000},"page":"1007-1021","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques"],"prefix":"10.1007","volume":"15","author":[{"given":"Ata Allah","family":"Nadiri","sequence":"first","affiliation":[]},{"given":"Iraj","family":"Habibi","sequence":"additional","affiliation":[]},{"given":"Maryam","family":"Gharekhani","sequence":"additional","affiliation":[]},{"given":"Sina","family":"Sadeghfam","sequence":"additional","affiliation":[]},{"given":"Rahim","family":"Barzegar","sequence":"additional","affiliation":[]},{"given":"Sadra","family":"Karimzadeh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"key":"760_CR1","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1108\/02630800110412462","volume":"19","author":"CJ Anumba","year":"2001","unstructured":"Anumba CJ, Scot DT (2001)Performance evaluation of a knowledge-basedsystem for subsidence management. Struct Surv 19:222\u2013232","journal-title":"Struct Surv"},{"issue":"1\u20132","key":"760_CR2","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.enggeo.2008.03.003","volume":"100","author":"JA Avila-Olivera","year":"2008","unstructured":"Avila-Olivera JA, Gardu\u00f1o-Monroy VH (2008)A GPR study of subsidence-creep -faultprocesses in Morelia, Michoac\u00e1n, Mexico. Eng Geol 100(1\u20132):69\u201381","journal-title":"Eng Geol"},{"key":"760_CR3","doi-asserted-by":"crossref","unstructured":"Beck BF (1986)A generalized genetic framework for the development of sinkholes and Karst in Florida, U.S.A. Environ Geol Water Sci 8:5. https:\/\/doi.org\/10.1007\/BF02525554","DOI":"10.1007\/BF02525554"},{"key":"760_CR4","doi-asserted-by":"publisher","unstructured":"Candela T, Koster K, Stafleu J, Visser W, Fokker P (2020) Towards regionally forecasting shallow subsidence in the Netherlands. Proc. IAHS 382:427\u2013431. https:\/\/doi.org\/10.5194\/piahs-382-427-2020","DOI":"10.5194\/piahs-382-427-2020"},{"key":"760_CR5","doi-asserted-by":"crossref","unstructured":"Chen B, Gong H, Chen Y, Li X, Zhou C, Zhu L, Duan L, Zhao X (2020) Land subsidence and its relation with groundwater aquifers in Beijing Plain of China. Science of The Total Environment 735:139111","DOI":"10.1016\/j.scitotenv.2020.139111"},{"key":"760_CR6","doi-asserted-by":"publisher","first-page":"267","DOI":"10.3233\/IFS-1994-2306","volume":"2","author":"S Chiu","year":"1994","unstructured":"Chiu S (1994)Fuzzy model identification based on cluster estimation. Intell Fuzzy Syst 2:267\u2013278","journal-title":"Intell Fuzzy Syst"},{"key":"760_CR7","first-page":"101925","volume":"82","author":"A Ciampalini","year":"2019","unstructured":"Ciampalini A, Solari L, Giannecchini R, Galanti Y, Moretti S (2019)Evaluation of subsidence induced by long-lastingbuildings load using InSAR technique and geotechnical data: The case study of a Freight Terminal (Tuscany, Italy). Appl Earth Obs Geoinf 82:101925","journal-title":"Appl Earth Obs Geoinf"},{"key":"760_CR8","doi-asserted-by":"crossref","unstructured":"Colazas XC, Strehle RW (1995)Subsidence in theWilmington Oil Field, Long Beach, California, USA. Dev Pet Sci 41:285\u2013335","DOI":"10.1016\/S0376-7361(06)80053-1"},{"issue":"2","key":"760_CR9","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002)A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"key":"760_CR10","unstructured":"Unknown (2018) Report and available data. published by East Azerbaijan Regional Water Authority (EARWA), Iran."},{"key":"760_CR11","doi-asserted-by":"crossref","unstructured":"Ebtehaj I, Bonakdari H, Zaji H, Azimi AH, Khoshbin F (2015)GMDH-typeneural network approach for modeling the discharge coefficient of rectangular sharp-crestedside weirs. Eng Sci Technol 18:746\u2013757","DOI":"10.1016\/j.jestch.2015.04.012"},{"key":"760_CR12","unstructured":"Farlow SJ (1984)Self-organizingmethods in modeling: GMDH type algorithms. Marcel Dekker Inc, CrC Press"},{"issue":"8","key":"760_CR13","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1007\/s10040-011-0775-5","volume":"19","author":"DL Galloway","year":"2011","unstructured":"Galloway DL, Burbey TJ (2011)Regional land subsidence accompanying groundwater extraction. Hydrogeol 19(8):1459\u20131486","journal-title":"Hydrogeol"},{"key":"760_CR14","doi-asserted-by":"crossref","unstructured":"Galloway D, Jones D, Ingebritsen SE (1999)Land subsidence in the United State. U.S. Geological Survey, Circular 1182","DOI":"10.3133\/cir1182"},{"issue":"2","key":"760_CR15","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/0045-7825(75)90054-7","volume":"5","author":"G Gambolati","year":"1975","unstructured":"Gambolati G (1975)Numerical models in land subsidence control. Comput Methods Appl Mech Eng 5(2):227\u2013237","journal-title":"Comput Methods Appl Mech Eng"},{"key":"760_CR16","doi-asserted-by":"publisher","first-page":"112949","DOI":"10.1016\/j.jenvman.2021.112949","volume":"294","author":"M Gharekhani","year":"2021","unstructured":"Gharekhani M, Nadiri AA, Khatibi R, Sadeghfam S (2021)An investigation into time-variantsubsidence potentials using inclusive multiple modelling strategies. J Environ Manage 294:112949","journal-title":"J Environ Manage"},{"issue":"5","key":"760_CR17","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.enggeo.2018.04.004","volume":"240","author":"K Gu","year":"2018","unstructured":"Gu K, Shi B, Liu C, Jiang H, Li T, Wu J (2018)Investigation of land subsidence with the combination of distributed fiber optic sensing techniques and microstructure analysis of soils. Eng Geol 240(5):34\u201347","journal-title":"Eng Geol"},{"key":"760_CR18","doi-asserted-by":"crossref","unstructured":"Hanssen RF (2001)Radar Interferometry: Data Interpretation and Error Analysis. Springer Science & Business Media, Berlin","DOI":"10.1007\/0-306-47633-9"},{"issue":"9","key":"760_CR19","doi-asserted-by":"publisher","first-page":"3165","DOI":"10.1016\/j.scitotenv.2008.07.012","volume":"407","author":"T Hayashi","year":"2009","unstructured":"Hayashi T, Tokunag T, Aichi M, Shimada J, Taniguchi M (2009)Effects of human activities and urbanization on groundwater environments: an example from the aquifer system of Tokyo and the surrounding area. Sci Total Environ 407(9):3165\u20133172","journal-title":"Sci Total Environ"},{"issue":"2","key":"760_CR20","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/0165-0114(90)90182-6","volume":"36","author":"I Hiashi","year":"1990","unstructured":"Hiashi I, Tanaka H (1990)The fuzzy GMDH algorithm by possibility models and its application. Fuzzy Sets Syst 36(2):245\u2013258","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"760_CR21","first-page":"43","volume":"1","author":"AG Ivakhnenko","year":"1968","unstructured":"Ivakhnenko AG (1968)The Group Method of Data Handling \u2013a rival of the Method of Stochastic Approximation. Soviet Automatic Control c\/c of Avtomatika 1(3):43\u201355","journal-title":"Soviet Automatic Control c\/c of Avtomatika"},{"key":"760_CR22","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/0040-1625(78)90057-4","volume":"12","author":"AG Ivakhnenko","year":"1978","unstructured":"Ivakhnenko AG (1978)The Group Method of Data Handling in Long-RangeForecasting. Technol Forecast Soc Change 12:213\u2013227","journal-title":"Technol Forecast Soc Change"},{"issue":"9","key":"760_CR23","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1007\/s12665-016-5654-x","volume":"75","author":"F Jafari","year":"2016","unstructured":"Jafari F, Javadi S, Golmohammadi G, Karimi N, Mohammadi K (2016)Numerical simulation of groundwater flow and aquifer-systemcompaction using simulation and InSAR technique: Saveh basin, Iran. Environ Earth Sci 75(9):833","journal-title":"Environ Earth Sci"},{"issue":"2","key":"760_CR24","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1016\/j.gsf.2020.07.011","volume":"12","author":"R Khatibi","year":"2021","unstructured":"Khatibi R, Nadiri AA (2021)Inclusive Multiple Models (IMM)for predicting groundwater levels and treating heterogeneity. Geosci Front 12(2):713\u2013724","journal-title":"Geosci Front"},{"key":"760_CR25","doi-asserted-by":"publisher","first-page":"124923","DOI":"10.1016\/j.jhydrol.2020.124923","volume":"587","author":"R Khatibi","year":"2020","unstructured":"Khatibi R, Ghorbani MA, Naghshara S, Aydin H, Karimi V (2020)Framework for \u2018Inclusive Multiple Modelling\u2019 with Critical Views on Modelling Practices -Applications to Modelling Water Levels of Caspian Sea and Lakes Urmia and Van. Hydro 587:124923","journal-title":"Hydro"},{"key":"760_CR26","doi-asserted-by":"crossref","unstructured":"Kihm JH, Kim JM, Song SH, Lee GS (2007)Three-dimensionalnumerical simulation of fully coupled groundwater flow and land deformation due to groundwater pumping in an unsaturated fluvial aquifer system. J Hydrol 335(1\u20132):1\u201314","DOI":"10.1016\/j.jhydrol.2006.09.031"},{"key":"760_CR27","doi-asserted-by":"crossref","unstructured":"Kim D, Park GT (2005)GMDH-typeneural network modeling in evolutionary optimization, vol 3533. IEA\/AIE, pp 563\u2013570","DOI":"10.1007\/11504894_79"},{"issue":"1","key":"760_CR28","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1029\/1998WR900018","volume":"35","author":"DR Legates","year":"1999","unstructured":"Legates DR, McCabe CJ (1999)Evaluation the use of goodness-of-fitmeasures in hydrologic and hydro climate model validation. Water Resour Res 35(1):233\u2013241","journal-title":"Water Resour Res"},{"key":"760_CR29","unstructured":"Li H, Philip CL, Huang HP (2001)Fuzzy neural intelligent systems: mathematical foundation and the applications in engineering. CRC Press, Boca Rato, p 392"},{"key":"760_CR30","doi-asserted-by":"crossref","unstructured":"Lorphensri O, Ladawadee A, Dhammasarn S (2011)Review of groundwater management and land subsidence in Bangkok, Thailand. In: Taniguchi M (eds)Groundwater and Subsurface Environments. Springer, Tokyo","DOI":"10.1007\/978-4-431-53904-9_7"},{"issue":"5","key":"760_CR31","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1016\/S1001-6058(10)60157-6","volume":"23","author":"ZJ Luo","year":"2011","unstructured":"Luo ZJ, Zeng F (2011)Finite element numerical simulation of land subsidence and groundwater exploitation based on visco-elastic-plasticbiot\u2019s consolidation theory. J Hydrodynam 23(5):615\u2013624","journal-title":"J Hydrodynam"},{"issue":"4","key":"760_CR32","doi-asserted-by":"publisher","first-page":"101169","DOI":"10.1016\/j.gsf.2021.101169","volume":"12","author":"M Malmir","year":"2021","unstructured":"Malmir M, Javadi S, Moridi A, Neshat A, Razdar B (2021)A new combined framework for sustainable development using the DPSIR approach and numerical modeling. Geosci Front 12(4):101169","journal-title":"Geosci Front"},{"key":"760_CR33","first-page":"6043","volume":"12","author":"JP Moiwo","year":"2015","unstructured":"Moiwo JP, Tao F (2015)Satellite signal shows storage-unloadingsubsidence in North China. Hydrol Earth Syst Sci 12:6043\u20136075","journal-title":"Hydrol Earth Syst Sci"},{"key":"760_CR34","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1061\/(ASCE)HE.1943-5584.0000824","volume":"19","author":"AA Nadiri","year":"2014","unstructured":"Nadiri AA, Chitsazan N, Tsai FTC, Moghaddam AA (2014)Bayesian artificial intelligence model averaging for hydraulic conductivity estimation. J Hydrol Eng 19:520\u2013532","journal-title":"J Hydrol Eng"},{"issue":"4","key":"760_CR35","doi-asserted-by":"publisher","first-page":"1474","DOI":"10.2166\/hydro.2013.008","volume":"15","author":"AA Nadiri","year":"2013","unstructured":"Nadiri AA, Fijani E, Tsai FTC, Moghaddam AA (2013)Supervised committee machine with artificial intelligence for prediction of fluoride concentration. Hydroinformatics 15(4):1474\u20131490","journal-title":"Hydroinformatics"},{"issue":"9","key":"760_CR36","doi-asserted-by":"publisher","first-page":"8562","DOI":"10.1007\/s11356-017-8489-4","volume":"24","author":"AA Nadiri","year":"2017","unstructured":"Nadiri AA, Gharekhani M, Khatibi R, Moghaddam A (2017)Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models. Environ Sci Pollut Res 24(9):8562\u20138577","journal-title":"Environ Sci Pollut Res"},{"key":"760_CR37","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1016\/j.scitotenv.2016.09.093","volume":"574","author":"AA Nadiri","year":"2017","unstructured":"Nadiri AA, Gharekhani M, Khatibi R, Sadeghfam S, Asghari Moghaddam AA (2017)Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM). Sci Total Environ 574:691\u2013706","journal-title":"Sci Total Environ"},{"issue":"8","key":"760_CR38","doi-asserted-by":"publisher","first-page":"3989","DOI":"10.1007\/s10064-020-01781-3","volume":"79","author":"AA Nadiri","year":"2020","unstructured":"Nadiri AA, Khatibi R, Khalifi P, Feizizadeh B (2020) A study of subsidence hotspots by mapping vulnerability indices through innovatory \u2018ALPRIFT\u2019 using artificial intelligence at two levels. Bulletin of Engineering Geology and the Environment 79(8):3989\u20134003","journal-title":"Bulletin of Engineering Geology and the Environment"},{"key":"760_CR39","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1080\/02626667.2018.1554940","volume":"64","author":"AA Nadiri","year":"2019","unstructured":"Nadiri AA, Naderi K, Khatibi R, Gharekhani M (2019)Modelling groundwater level variations by learning from multiple models using fuzzy logic. Hydrol Sci J 64:210\u2013226","journal-title":"Hydrol Sci J"},{"key":"760_CR40","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.scitotenv.2017.03.109","volume":"593","author":"AA Nadiri","year":"2017","unstructured":"Nadiri AA, Sedghi Z, Khatibi R, Gharekhani M (2017)Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures. Sci Total Environ 593:75\u201390","journal-title":"Sci Total Environ"},{"key":"760_CR41","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1016\/j.scitotenv.2018.02.031","volume":"628","author":"AA Nadiri","year":"2018","unstructured":"Nadiri AA, Taheri Z, Khatibi R, Barzegari G, Dideban K (2018)Introducing a new framework for mapping subsidence vulnerability indices (SVIs). Sci Total Environ 628:1043\u20131057","journal-title":"Sci Total Environ"},{"key":"760_CR42","doi-asserted-by":"publisher","first-page":"102115","DOI":"10.1016\/j.ijdrr.2021.102115","volume":"56","author":"N Nappoa","year":"2021","unstructured":"Nappoa N, Pedutob D, Polcaric M, Maria F, Ferrarioa F, Comercid V, Stramondoc S, Michettia AM (2021)Subsidence in Como historic centre (northern Italy): Assessment of building vulnerability combining hydrogeological and stratigraphic features, Cosmo-SkyMedInSAR and damage data. Int J Disast Risk Reduct 56:102115","journal-title":"Int J Disast Risk Reduct"},{"issue":"1 2","key":"760_CR43","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.enggeo.2006.12.001","volume":"90","author":"P Psimoulis","year":"2007","unstructured":"Psimoulis P, Ghilardi M, Fouache E, Stiros S (2007)Subsidence and evolution of the Thessaloniki plain, Greece, based on historical leveling and GPS data. Eng Geol 90(1 2):55\u201370","journal-title":"Eng Geol"},{"key":"760_CR44","doi-asserted-by":"crossref","unstructured":"Rahmani B, Javadi S, Shahdany MH (2019) Evaluation of aquifer vulnerability using PCA technique and various clustering methods. Geocarto International 36(1):1\u201324","DOI":"10.1080\/10106049.2019.1690057"},{"issue":"1\u20132","key":"760_CR45","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1504\/IJW.2013.051980","volume":"7","author":"M Saatsaz","year":"2013","unstructured":"Saatsaz M, Sulaiman WNA, Eslamian S, Javadi S (2013)Development of a coupled flow and solute transport modelling for Astaneh-Kouchesfahangroundwater resources, North of Iran. Int J Water 7(1\u20132):80\u2013103","journal-title":"Int J Water"},{"key":"760_CR46","doi-asserted-by":"publisher","first-page":"106352","DOI":"10.1016\/j.eiar.2019.106352","volume":"82","author":"S Sadeghfam","year":"2020","unstructured":"Sadeghfam S, Khatibi R, Dadashi S, Nadiri AA (2020)Transforming subsidence vulnerability indexing based on ALPRIFT into risk indexing using a new fuzzy-catastrophescheme. Environ Impact Assess Rev 82:106352","journal-title":"Environ Impact Assess Rev"},{"issue":"6","key":"760_CR47","doi-asserted-by":"publisher","first-page":"1640","DOI":"10.2166\/hydro.2020.247","volume":"22","author":"S Sadeghfam","year":"2020","unstructured":"Sadeghfam S, Nourbakhsh Khiyabani F, Khatibi R, Daneshfaraz R (2020)A study of land subsidence problems by ALPRIFT for vulnerability indexing and risk indexing and treating subjectivity by strategy at two levels. Hydroinformatics 22(6):1640\u20131662","journal-title":"Hydroinformatics"},{"key":"760_CR48","doi-asserted-by":"crossref","unstructured":"Sato PH, Abe K, Otaki O (2007)GPS-measuredland subsidence in Ojiya City, Niigata Prefecture, Japan. Eng Geol 67(3\u20134):379\u2013390","DOI":"10.1016\/S0013-7952(02)00221-1"},{"issue":"1","key":"760_CR49","first-page":"43","volume":"8","author":"E Sfidari","year":"2018","unstructured":"Sfidari E, Kadkhodaie A, Ahmadi B, Ahmadi B, Faraji MA (2018)Prediction of pore facies using GMDH-typeneural networks: a case study from the South Pars gas field, Persian Gulf basin. Geopersia 8(1):43\u201360","journal-title":"Geopersia"},{"key":"760_CR50","unstructured":"Sossong AT (1973)Subsidence experience of Bethlehem Mines Corporation in Central Pennsylvania. In: Hargraves AJ (ed)Subsidence in mines-Proceedingsof symposium, 4th, Wollongong University, February 20-22, 1973. Australasian Institute of Mining and Metallurgy, pp 5.1\u20135.5"},{"issue":"48\u201357","key":"760_CR51","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1126\/science.3287615","volume":"240","author":"JA Swets","year":"1988","unstructured":"Swets JA (1988)Measuring the accuracy of diagnostic systems. Science 240(48\u201357):1285\u20131293","journal-title":"Science"},{"issue":"1","key":"760_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep02710","volume":"3","author":"L Tosi","year":"2013","unstructured":"Tosi L, Teatini P, Strozzi T (2013)Natural versus anthropogenic subsidence of Venice. Sci Rep 3(1):1\u20139","journal-title":"Sci Rep"},{"key":"760_CR53","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.jhydrol.2017.12.046","volume":"557","author":"J Wang","year":"2018","unstructured":"Wang J, Deng Y, Ma R, Liu X, Guo Q, Liu S, Shao Y, Wu L, Zhou J, Yano T, Wana H, Huana X (2018)Model test on partial expansion in stratified subsidence during foundation pit dewatering. J Hydrol 557:489\u2013508","journal-title":"J Hydrol"},{"key":"760_CR54","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1061\/(ASCE)HE.1943-5584.0000172","volume":"15","author":"J Wu","year":"2010","unstructured":"Wu J, Shi X, Ye S, Xue Y (2010)Numerical Simulation of Viscoelastoplastic Land Subsidence due to Groundwater Overdrafting in Shanghai, China. J Hydrol Eng 15:3","journal-title":"J Hydrol Eng"},{"key":"760_CR55","doi-asserted-by":"crossref","unstructured":"Ye S, Luo Y, Wu J, Teatini P, Wang H, Jiao X (2015)Three dimensional numerical modeling of land subsidence in Shanghai. Proc IA372:443\u2013448","DOI":"10.5194\/piahs-372-443-2015"},{"key":"760_CR56","doi-asserted-by":"crossref","unstructured":"Ye S, Luo Y, Wu J, Yan X, Wang H, Jiao X, Teatini P (2016)Three-dimensionalnumerical modeling of land subsidence in Shanghai, China. Hydrogeol J 24:695\u2013709","DOI":"10.1007\/s10040-016-1382-2"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-021-00760-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-021-00760-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-021-00760-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T04:45:41Z","timestamp":1654836341000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-021-00760-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,14]]},"references-count":56,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["760"],"URL":"https:\/\/doi.org\/10.1007\/s12145-021-00760-w","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,14]]},"assertion":[{"value":"25 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}